Senior AI Workflow Engineer

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 322,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Collaboration","Architecting","Automation","Orchestration","Problem-solving"]

Build and maintain an enterprise integration and API framework that enables secure, self-service connectivity for AI application development. You’ll develop agentic roadmap capabilities, architect high-throughput real-time integrations using event-driven orchestration, and design intelligent, context-aware workflows across business processes and multi-cloud environments. Partner with Product and Engineering to implement autonomous, closed-loop integration lifecycles with self-monitoring, self-healing, continuous testing, and proactive alerting.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior AI Workflow Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Build and maintain an enterprise integration and API framework that enables secure, self-service connectivity for AI application development. You’ll develop agentic roadmap capabilities, architect high-throughput real-time integrations using event-driven orchestration, and design intelligent, context-aware workflows across business processes and multi-cloud environments. Partner with Product and Engineering to implement autonomous, closed-loop integration lifecycles with self-monitoring, self-healing, continuous testing, and proactive alerting.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop the roadmap and enterprise integration framework, embedding agentic AI capabilities for autonomous, adaptive, and self-optimizing integration strategies.
  • •Architect and deliver high-throughput, real-time integration platforms using event-driven, asynchronous, and AI-augmented orchestration patterns for large-scale distributed systems.
  • •Design intelligent, context-aware integration solutions across complex business processes (Operations, Order-to-Cash, Planning) in multi-cloud (IaaS, PaaS, SaaS) environments.
  • •Implement production-grade integration systems by collaborating with Product and Engineering to incorporate AI-driven decisioning and autonomous workflows into production.
  • •Orchestrate autonomous, closed-loop integration lifecycles with self-monitoring, self-healing, continuous testing, adaptive updates, and proactive alerting through agentic automation.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor’s/Master’s degree or equivalent experience in Computer Science or related Engineering.
  • •8+ years of enterprise integration experience with expertise in microservices, integration patterns, and reusable frameworks across heterogeneous systems.
  • •Experience across the API lifecycle (design, build, governance, management), including AI-enabled API orchestration and intelligent routing.
  • •Strong integration experience with distributed enterprise systems such as SAP S/4, IBP, Salesforce, and similar SaaS/Cloud applications using API-first and event-driven architecture.
  • •Programming/scripting skills (Java, Groovy, Python, PowerShell) and experience with CI/CD pipelines (Git, Jenkins, JFrog) plus observability tools (Datadog, Splunk).
Experience:8+ yearsEnterprise integrationMicroservicesAPIsSaaSSAPCloudEvent-driven architecture
Education:Master's in Computer Science or related Engineering
Skills:CollaborationArchitectingAutomationOrchestrationProblem-solving
Tech Stack:CodexClaude CodeN8nUnified Integration FrameworkMCPMicroservicesEvent-driven architectureAsynchronous orchestrationRESTGraphQLSOAPSAP Integration SuiteSAP CPIAPI-MTPMAI coding assistantsWorkflow automationOrchestration systemsSAP S/4SAP IBP

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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